Data Visualization

In this tutorial, you’ll learn:

TODO:

Prerequisites

Concepts	Importance	Notes
Link to Pre-Req	Necessary

Time to learn: x minutes

Introduction

The previous section showcased how to visualize the geometry of unstructured grids by using the Grid data structure. In this section, we will now visualize data variables that reside on unstructured elements

Data Mapping

Data variables that reside on unstructured grids can be mapped to different geometries, which impacts the choice of visualization method.

Face (Cell) Centered

Node (Vertex) Centered

Edge Centered

import uxarray as ux

grid_path = "../../meshfiles/oQU480.grid.nc"
data_path = "../../meshfiles/oQU480.data.nc"

uxds = ux.open_dataset(grid_path, data_path)

Plotting Accessor

uxds["bottomDepth"].plot()

Polygons

uxds["bottomDepth"].plot.polygons()

Points

uxds["bottomDepth"].plot.points()

import cartopy.crs as ccrs

uxds["bottomDepth"].plot(projection=ccrs.NearsidePerspective(-90, 40))

uxds["bottomDepth"].plot(projection=ccrs.Orthographic(-90, 40))